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IEEE International Conference on Systems, Man, and Cybernetics

作者： Ildefonso Ruano-Ruano Juan Gómez-Ortega Javier Gámez-García Elisabet Estévez-Estévez Group of Robotics Automation and Computer Vision (GRAV) University of Jaén Jaén Spain

ISBN: (纸本)9781479906505

Web-based laboratories have been used as valuable resources to support teaching for many years. The methodology and operation of laboratories over the Internet have changed considerably since the early implementations. In fact, one of the last steps taken related to this issue has been the integration of laboratories and Learning Management Systems (LMS). In this paper we present methods that facilitate the development of virtual and/or remote labs software to interact with Learning Management Systems using Shareable Content Object Reference Model (SCORM), the most important standard for e-learning content. A virtual lab model is developed to show how the methods are used in order to integrate the virtual lab software with the LMS via SCORM.

关键词： component Learning Management System Online Laboratories SCORM EJS SCORM learning management system electronic jamming DNA Integration integration Levamisole valuable resource

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Fuzzy Decision Support System for the Determination of the Set Points of Relevant Variables in the Virgin Olive Oil Elaboration Process

Fuzzy Decision Support System for the Determination of the S...

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IEEE International Conference on Systems, Man, and Cybernetics

作者： P. Cano Marchal D. Martinez Gila J. Gámez Garcia J. Gómez Ortega Robotics Automation and Computer Vision Group University of Jaén. Agrifood Campus of International Excellence (ceiA3). Jaén Spain

ISBN: (纸本)9781479906505

The virgin olive oil elaboration process (VOOEP) is an industrial process whose control relies heavily in the knowledge of experts. In this paper, the basis of a fuzzy expert system for the determination of the set points of the VOOEP which uses inputs from the expert operator is presented, and a system is constructed and validated based on the knowledge of expert operators of the process. The expert system is built based on the decomposition of the original problem into three sub-problems, deriving a subsystem for each of them. Besides, a notion of maximum attainable quality estimate and a paste preparation variable are introduced.

关键词： Olive Oil Fuzzy Expert System fuzzy expert system Olive Oil decision support systems Set of points Professional personnel accuracy class Caste determination Sex Determination Processes Industrial processes original problem Expert System SUB-SYSTEM

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Control system of the malaxing state for the olive paste based on computer vision and fuzzy logic

Control system of the malaxing state for the olive paste bas...

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IEEE International Conference on Systems, Man, and Cybernetics

作者： D. Martinez Gila P. Cano Marchal J. Gámez Garcia J. Gómez Ortega Robotics Automation and Computer Vision Group University of Jaén. Agrifood Campus of International Excellence (ceiA3) Campus Las Lagunillas s/n. 23071 Jaén. Spain.

ISBN: (纸本)9781479906505

The olive paste preparation is one of the most important task within the olive oil elaboration process. It greatly determines the quality of the obtained oil, and imposes an upper bound on the achievable extraction yield. Currently, the malaxing state control of the olive paste is performed by the master miller, who observes periodically the paste inside the thermomixer and acts on variables manually. In this paper, the implementation of a new methodology to control the malaxing state of the olive paste is presented. The methodology is based on a software sensor that obtains some olive paste features from the acquired images inside the thermomixer, such as granularity, presence of floating oil and viscosity. This software sensor is formed by two camera devices, and it is coded by image processing algorithms from textural and color information. Concretely, the grey level co-ocurrence matrix and the segmentation method based on threshold, were employed. Also, a fuzzy controller was designed to act automatically on the thermomixer variables. This controller is based on the master miller expert knowledge, and it allows to adjust the malaxing time needed to prepare the olive paste to the minimum value. This fact supposes a significative improvement in the energy consumption of the plant.

关键词： olive paste malaxing state fuzzy logic computer vision thermomixer images computer vision Fuzzy logic Pastes olive control systems

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Application of computer vision and Support Vector Machines to estimate the content of impurities in olive oil samples

Application of computer vision and Support Vector Machines t...

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International Conference on automation and Computing (ICAC)

作者： P. Cano Marchal D. Martínez Gila J. Gámez García J. Gómez Ortega Robotics Automation and Computer Vision Group University of Jaén Jaen Spain

The determination of the content of impurities is a very frequent analysis performed on virgin olive oil samples, but the official method established in the European norm CE 2568/91 is quite work-intensive, and it would be convenient to have an alternative approximate method to evaluate the performance of the impurity removal process. In this work we develop a system based on computer vision and pattern recognition to classify the content of impurities of the olive oil samples in three sets, indicative of the goodness of the separation process of olive oil after its extraction from the paste. Starting from the histograms of the channels of the RGB, CIELAB and HSV color spaces, we construct an initial input parameter vector and perform a feature extraction previous to the classification. Several linear and non-linear feature extraction techniques were evaluated, and the classifiers used were Support Vector Machines. The best classification rate achieved was 87.66%, obtained using KPCA and a grade-3-polynomial kernel SVM.

关键词： Feature extraction Impurities Histograms Kernel Principal component analysis Support vector machine classification

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Supervised learning of hidden and non-hidden 0-order affordances and detection in real scenes

Supervised learning of hidden and non-hidden 0-order afforda...

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IEEE International Conference on robotics and automation (ICRA)

作者： Aitor Aldoma Federico Tombari Markus Vincze Vision4Robotics Group Automation and Control Institute University of Technology Vienna Austria Computer Vision Lab DEIS-ARCES University of Bologna Italy

The ability to perceive possible interactions with the environment is a key capability of task-guided robotic agents. An important subset of possible interactions depends solely on the objects of interest and their position and orientation in the scene. We call these object-based interactions 0-order affordances and divide them among non-hidden and hidden whether the current configuration of an object in the scene renders its affordance directly usable or not. Conversely to other works, we propose that detecting affordances that are not directly perceivable increase the usefulness of robotic agents with manipulation capabilities, so that by appropriate manipulation they can modify the object configuration until the seeked affordance becomes available. In this paper we show how 0-order affordances depending on the geometry of the objects and their pose can be learned using a supervised learning strategy on 3D mesh representations of the objects allowing the use of the whole object geometry. Moreover, we show how the learned affordances can be detected in real scenes obtained with a low-cost depth sensor like the Microsoft Kinect through object recognition and 6D0F pose estimation and present results for both learning on meshes and detection on real scenes to demonstrate the practical application of the presented approach.

关键词： Solid modeling Robots Training Design automation Histograms Object recognition Computational modeling

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Hyperspectral imaging for determination of some quality parameters for olive oil

Hyperspectral imaging for determination of some quality para...

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International Conference on automation and Computing (ICAC)

作者： D. Martínez Gila P. Cano Marchal J. Gámez García J. Gómez Ortega Robotics Automation and Computer Vision Group Agrifood Campus of International Excellence (ceiA3) University of Jaén Jaen Spain

The analysis of the quality of a virgin olive oil involves the determination of a series of chemical indexes and organoleptic characteristics. In this work we propose an online prediction model for three chemical indexes: acidity, peroxide index and humidity content, based on an hyperspectral artificial vision system. Two methods have been developed for the construction of the model: (1) partial least squares regression (PLS) using all the captured spectral components, and (2) partial least squares regression over a subset of the components obtained applying a genetic algorithm (GA-PLS). The design and validation was carried out using olive oil samples from different seasons analysed by a renowned laboratory.

关键词： Hyperspectral imaging Predictive models Genetic algorithms Calibration Moisture Indexes Cameras

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An adaptable vision system for the automatic inspection of surface defects in automotive headlamp lenses

An adaptable vision system for the automatic inspection of s...

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2011 7th IEEE International Conference on automation Science and Engineering, CASE 2011

作者： Satorres Martínez, S. Gómez Ortega, J. Sánchez García, A. Gámez García, J. Group of Robotics Automation and Computer Vision University of Ja&#x00E9 n Spain

ISBN: (纸本)9781457717307

As a great part of the industrial inspection problems require specific, expensive, and highly complex solutions, there is the need to build flexible systems capable to be easily adapted to different models of a part. In this context, this paper proposes the use of a component-based methodology for designing and building flexible inspection systems for automotive headlamp lenses. Through computer vision, and taking into account the different elements that can be utilized in an industrial environment, we propose the use of a component based architecture for easily designing and building industrial inspection systems for this kind of parts. Within this architecture, each software, or hardware element, is encapsulated in a component with a predefined input/ouput layout and, later, it can be used considering the task inspection requirements. The main advantages of the proposed working philosophy are its flexibility, that the resulting machine vision can be easily adapted to any kind of headlamp lens, and that it is fully open to any new component (lighting system, process algorithm, industrial conveyor, etc.). This proposition has been successfully validated building an industrial prototype that was tested in both, the lab, and in a production line. © 2011 IEEE.

关键词： computer vision

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An adaptable vision system for the automatic inspection of surface defects in automotive headlamp lenses

An adaptable vision system for the automatic inspection of s...

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IEEE International Conference on automation Science and Engineering (CASE)

作者： S. Satorres Martínez J. Gómez Ortega A. Sánchez García J. Gámez García Corresponding author is with the Group of Robotics Automation and Computer Vision University of Jaen Spain Universidad de Jaen Jaen JaÃ©n ES

关键词： Inspection Lenses Lighting Cameras Machine vision Software Hardware

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IEEE Transactions on Haptics: Editorial

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IEEE Transactions on Haptics 2008年第1期1卷 2-8页

作者： Edward Colgate, J. Lederman, Susan Prattichizzo, Domenico Barbagli, Federico Basdogan, Cagatay Buss, Martin Ernst, Marc Frisoli, Antonio Gillespie, Brent Grant, Danny Harders, Matthias Hayward, Vincent Jones, Lynette Kajimoto, Hiroyuki Kappers, Astrid Kheddar, Abderrahmane Lin, Ming C. MacLean, Karon Miller, Brian Noma, Haruo Okamura, Allison M. O'Malley, Mareia Ryu, Jeha Tan, Hong Z. Yokokohji, Yasuyoshi Department of Psychology School of Computing Queen's University Canada IEEE Robotics and Automation Society Tübingen Germany Stanford University's Computer Science Department Tübingen Germany Institute of Automatic Control Engineering Technische Universität München Germany Independent Research Group Multisensory Perception and Action Max Planck Institute for Biological Cybernetics Tübingen Germany Department of Applied Mechanics SSSA Japan Research Division Virtual Reality and Telerobotic Systems PERCRO Laboratory Japan Department of Mechanical Engineering Japan Department of Robotics McGill University Canada Computer Vision Lab ETH Zurich Japan Virtual Reality in Medicine Group Japan IEEE CS/RAS Technical Committee on Haptics Japan Department of Electrical and Computer Engineering McGill University Canada Department of Mechanical Engineering MIT Japan University of Electro-Communications Japan Department of Physics and Astronomy Utrecht University Netherlands University of Evry France Chapel Hill United States Department of Computer Science University of British Columbia Canada ATR Knowledge Science Lab United Kingdom Department of Mechanical Engineering Denmark Johns Hopkins University United States Laboratory for Computational Sensing and Robotics United Kingdom Engineering Research Center for Computer-Integrated Surgical Systems and Technology United States Mechanical Engineering and Materials Science Department Rice University United States Korea Republic of Department of Electrical and Computer Engineering Mechanical Engineering and Psychological Sciences Purdue University United States Department of Mechanical Engineering and Science Graduate School of Engineering Kyoto University Japan

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Planar homography: accuracy analysis and applications

Planar homography: accuracy analysis and applications

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IEEE International Conference on Image Processing

作者： S. Negahdaripour R. Prados R. Garcia Department Electrical and Computer Engineering University of Miami Coral Gables FL USA Computer Vision and Robotics Group Department of Electronics Informatics and Automation University of Girona Spain

Projective homography sits at the heart of many problems in image registration. In addition to many methods for estimating the homography parameters (R.I. Hartley and A. Zisserman, 2000), analytical expressions to assess the accuracy of the transformation parameters have been proposed (A. Criminisi et al., 1999). We show that these expressions provide less accurate bounds than those based on the earlier results of Weng et al. (1989). The discrepancy becomes more critical in applications involving the integration of frame-to-frame homographies and their uncertainties, as in the reconstruction of terrain mosaics and the camera trajectory from flyover imagery. We demonstrate these issues through selected examples.

关键词： Cameras robotics and automation Image reconstruction Layout Equations Application software computer vision Robot vision systems Informatics Heart

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